The willingness of individuals to provide personal data is of interest to policymakers and practitioners seeking to develop more intelligent transportation systems that create value for passengers using technologies, as well as to leverage the use of data more generally to accelerate digital transformation. This study examines the role of perceived benefits as a driver and necessary condition for the

For a real “green deal” to take place, it is important that technological achievements in the realm of green mobility solutions are paired with novel sustainable and energy efficient mobility models, smart enough to answer the multifaceted needs of their users. Within this challenging context, we set the foundations of a human-centered framework for the analysis and design of policies promoting the

With the increasing population living in cities, a growing number of small daily urban freight deliveries are performed, typically by private companies. Recently, more environmentally friendly urban logistics services have emerged to mitigate the negative effects of such activities. One example is the integration of freight deliveries into bus networks, traditionally dedicated to passenger transportation

The objective of this study is to evaluate the effects of configuration elements and traffic flow conditions on lane-changing rates at weaving segments. To achieve this, data collected from ten weaving segments, utilizing DJI drones and automatic trajectory extraction technology, was analyzed in the study. The procedure introduced in Highway Capacity Manual (2016) was initially employed to estimate

Among the discrete choice contexts discussed in the transportation literature, route choice is particularly challenging, for which several model structures with different assumptions were developed. Recently, a group of closed-form multinomial models with asymmetric choice probability functions have been proposed to resolve the class imbalance problem in mode choice. However, these asymmetric models

Airport congestion and delays occur when a given infrastructure is heavily utilized. Delays can be controlled by allocating a limited number of permits to users (slot policies) or by increasing the user price (pricing policies). This study analyzes policy choices made by regions with congested airports and compares equilibrium outcomes. The main contribution is to analyze two scenarios in which non-locals

Activity engagement and travel behavior are dynamic concepts that are inherently complex. Recently, the generational transition from baby boomers as the largest generational cohort in the US to millennials has added a layer of complexity to our understanding of activity engagement and travel behavior. The challenge stems in part from the fact that millennials are “digital natives” or the first generation

China Railway Express (CR Express) has been fast developed, offering an alternative to transportation of the containerized cargo between China and Europe. This paper examines CO2 emissions and social welfare implications of the intermodal competition between the emerging CR Express and incumbent maritime shipping. An analytical model is developed, which shows that the implications depend in general

Children are one of the most vulnerable population groups in traffic crashes. Child safety seats (CSSs) can reduce the severity of crash outcomes for children. The use of CSSs has significantly increased in the U.S. over the last 40 years, but the use of CSSs in popular ridesharing services (RSSs), such as Uber and Lyft, is not widespread. This paper used a publicly available nationwide online survey

Electrification of trucking combined with connected technologies promise to cut the cost of freight transportation, reduce its environmental footprint, and make roads safer. If electric trucks are powerful enough to cease behaving as moving bottlenecks, they could also increase the capacity of existing roads and reduce the demand for new road infrastructure, a consequence that has so far been understudied

High-speed rail (HSR) provides fast passenger services that could benefit certain businesses in the service sector but may cause relative declines in employment in agricultural and manufacturing sectors. We present a case study of the labor market in contexts of Spain—with a service-dominated economy and a smaller but significant manufacturing economy—by exploiting variations in the location of HSR

Using 530 responses from an online questionnaire, this study aims to investigate the transition from physical to online shopping alternatives during the first wave of the COVID-19 pandemic at the individual level. The focus areas of the study are Sweden and Italy, two European countries that implemented contrasting prevention measures. This study analyses the impacts of the pandemic on the transition

To combat congestion, promote sustainable forms of transportation, and support the public transit system, Chicago introduced a congestion pricing policy targeting transportation network company (TNC) services on January 6, 2020. This policy aimed to discourage single-occupant and peak-period TNC travel, particularly in high-congestion areas. Using TNC trip record data collected from the Chicago Data

The advent of automated and algorithmic technology requires people to consider them when assigning responsibility for something going wrong. We focus on a focal question: who or what should be responsible when both human and machine drivers make mistakes in human–machine shared-control vehicles? We examined human judgments of responsibility for automated vehicle (AV) crashes (e.g., the 2018 Uber AV

Research on the experienced utility of commuting time is dominated by an individualistic view of choice concerning the trade-offs between long commutes and job- or housing-related benefits. The widely discussed phenomenon of the commuting paradox shows that individuals systematically report worse subjective wellbeing as commuting time increases over time, indicating the incomplete trade-offs and net

Autonomous Mobility-On-Demand (AMoD) provides new options for the morning commute problem. The flexibility of AMoD could help to boost the attractiveness and accessibility of Public Transportation (PT). Intermodal AMoD systems could become a competitive alternative to personal cars. However, considering the convenience, comfort, and expected low fares of autonomous vehicles, there is a risk of competition

In this paper, we study how the distributional preferences of planners and the public diverge in the context of national infrastructure planning. To do so, we surveyed a sample of 323 planners working at the Swedish Transport Administration and 2,108 members of the Swedish public. The most striking difference is that planners place a relatively higher value on aggregate benefits than the public. Planners

This paper analyses historical energy consumption trends of the EU road transport sector and examines the role of key determinants, such as economic and population growth, fuel prices, passenger and tonne-kilometres and vehicle fleet characteristics. In light of the EU 2030 and 2050 energy and climate targets, the paper assesses the energy efficiency and decarbonisation progress from 2000 to 2018.

Available range (AR) uncertainty is prevalent in battery electric vehicles (BEVs). AR depends on traffic conditions, weather conditions, road conditions, driving style, etc. This study aims to examine the role of AR uncertainty in BEV users’ en-route charging and charging route choice behavior. A stated preference survey is designed and conducted to explore the two consecutive choice behaviors: (1)

Electric vehicles (EVs) have emerged as a sustainable option for maintaining ecological balance. Extant literature identified a limited set of enablers of EV sales and mostly considered single-country contexts. Interestingly, prior studies rarely employed the lens of institutional theory to probe EV sales. Hence, our study explored how legitimacy concerns, due to societal expectations, are associated

The sales and use of electric vehicles (EVs) have been growing in recent times in Europe, with the hopes of mitigating CO2 emissions and enabling more sustainable transportation. Considering the growth of the EV market, the main goal of this research is to shed light on what drives electric vehicles' satisfaction and continuance intention. We collected data from 290 EV drivers in Europe. Grounded in

This study empirically examines the effects of high-speed rail (HSR) projects on individual happiness by matching city-level HSR data with individual-level happiness data. This study finds that the opening of an HSR project can promote individual happiness, with a coefficient of 0.076. This study constructs instrumental variables, namely, urban slope and area, and performs a series of robustness checks

Shared e-scooters are mostly used within or close to city centers and they are being seen as a tool for promoting intermodality while often they cover gaps of public transport networks. This study focuses on university students, since they constitute a large proportion of the shared e-scooters market share, and examines their willingness to use shared e-scooters for intermodal trips and their attitudes

The fast growth of e-commerce in urban areas has led to a surge in last-mile transportation demand and an associated increase of external effects: congestion, noise and visual pollution. This paper analyses a new urban freight transport service that has a potential to reduce this footprint: crowdshipping. Crowdshipping is a service where a package is delivered via a traveller who is already making

Several cities have restricted the use of private vehicles based on the last digit of a vehicle's license plate to reduce traffic congestion and pollution. However, the effectiveness of this measure has been questioned. In 2017, a hybrid scheme, License Plate Restriction Charging (LPRC), was implemented in Cali, Colombia. With this scheme, drivers can pay a charge (monthly, quarterly, or yearly) to

An examination is conducted of airline strategies during the covid-19 pandemic using data from the United States. Our findings show that airlines pursued diverse strategies in terms of route entry and retention, pricing, and load factors. At the route level, a more detailed examination is conducted of the performance of a middle-seat blocking strategy designed to increase the safety of air travel.

Regulation on infrastructure pricing affects various aspects, including demand, social welfare, and investment in transport management, as well as intramodal and intermodal competition. This study develops a game theoretic model that derives the charges (set by the infrastructure operators) and fare prices (set by the transport operators) as well as the associated profit and welfare in equilibrium

After the outbreak of COVID-19 pandemic, crowding has been highlighted as a risk factor for contracting acute respiratory infections (ARIs) such as COVID-19, which has affected the demand for public transport. Although several countries, including the Netherlands, have implemented differential fare systems for peak and off-peak travel to reduce crowding during the rush hours, the problem of overcrowding

The public bikesharing (PBS) scheme has been recognized as a sustainable transport mode. However, to promote its use, it is crucial to understand the travel behavior of PBS subscribers. This study intends to determine the factors associated with PBS subscribers’ annual public bike distance, which is yet to be noted in the literature. We build up a dataset for the PBS scheme in Seoul, South Korea, by

Improving transport connectivity has become increasingly significant to international trade research and transport policy agendas. Little has been done so far to investigate the direct association between maritime connectivity and economic growth, let alone the exact effect magnitude. As the connection between ports, local economies, and global logistics networks becomes ever closer, the economic role

In developing countries like India, the policymakers have largely focused on supply-side measures, yet demand-side measures have remained unaddressed in policy implications. Ample literature is available presenting responses of TDM strategies, but most studies account mode choice and parking choice behaviour separately rather than considering trade-offs between them. This paper seeks to fill this gap

We develop a schedule delay model using advanced econometrics techniques, while computing the social cost of passenger delays, in order to propose an alternative to the method of defining such cost that is actually found in the literature. This study has been made possible by obtaining private revenue management and operational data directly from a main European legacy airline. Thanks to MNL models

The transportation systems are facing major challenges due to changes social environment caused by the COVID-19 pandemic. How to construct a suitable evaluation criterion system and suitable assessment method to evaluate the status of the urban transportation resilience has become a predicament nowadays. Firstly, the criteria for evaluating the current state of transportation resilience involve many

The modelling of mode and route choices of public transport passengers is an essential component of travel demand modelling and transportation planning. Traditionally, choice models are trained using data from revealed and stated preference surveys which are not only cost and time intensive but also suffer from bias due to limitations in sample size. In this article, we present a novel approach utilizing

Congestion pricing is a standard approach to mitigate traffic congestion in a number of urban networks around the world. The advancement of satellite technology has spurred interest in distance-based congestion pricing schemes, which obviate the need for fixed infrastructure such as gantries that are used in area- and cordon-based pricing. Moreover, distance-based pricing has the potential to more

Shared-e-scooters are being introduced in cities worldwide, with their introduction often being distant from the actual service characteristics understanding, potential benefits, and threats realization. This research explores scooter use by examining approximately nine million scooter trips from five North American cities (Austin; TX, Calgary; AB, Chicago; IL, Louisville; KY, Minneapolis; MN). By

This paper develops a modeling framework to estimate the on-street parking demand for urban commercial traffic in the US using publicly available data. The commercial traffic includes the freight trip generation (pick-ups and deliveries), service trip attraction (service visits to establishments), and e-commerce deliveries, altogether referred to as freight and service activities (FSA) in this study

As a new mode of shared mobility that allows users to share the same trip (vehicle) with others at a low travel cost, ridesplitting reduces environmental pollution and eases traffic congestion. Although the relationship between the built environment and the ridesplitting adoption rates has been explored before, few studies investigated the effect of fare discounts on the ridesplitting adoption rate

Shared parking is viewed increasingly important as a way to alleviate parking problems in urban areas. To maximize the effect of shared parking initiatives, it is critical to understand the decision of households to share private parking spaces. Current models of household decision-making fail to adequately address equity seeking/avoiding household dynamics, which may negatively affect model validity

A restructuring of the current mobility and transportation system seems to be inescapable, as a result of the increasing urbanization and challenges regarding global sustainability. The concept of Mobility-as-a-Service (MaaS) is regarded by policy-makers as an answer to the needed change. Generally speaking, MaaS is an online platform that enables users to plan, book and pay a trip out of a variety

The concept of integrated passenger–freight transport has been developed mostly in urban areas and for long-haul trips. In this paper, its adoption is also proposed in rural areas, identifying some margin to develop the solutions adopted so far, which rely mainly on demand-responsive transport (DRT), and provide a reliable and efficient transit service. A methodological framework for developing and

Using a panel data set of 36 cities in the Sichuan-Chongqing Economic Circle in China from 2011 to 2019, this study adopts a spatial difference-in-differences (SDID) model to analyze the effect of high-speed rail (HSR) on urban tourism development. The results show that HSR operation can significantly promote the development of urban tourism. The spatial autoregressive parameter is 0.3, indicating

Airlines can deploy small-sized regional aircraft or narrow-bodied aircraft (with more seats) to fly regional airline routes. Although narrow-bodied aircraft is more emission-efficient on a per-seat basis, the load factor of narrow-bodied aircraft could be lower due to less traffic on regional routes. Thus, small-sized regional aircraft could emit less on a per-flight or per-passenger basis. This study

In this paper, we propose an iterative approach within a threshold quantile regression framework to identify sequential structural breaks. We apply it to a time series analysis with a focus on establishing a connection between structural breaks in the gasoline consumption function and extreme events in the economy. The estimated structural breaks and piecewise relationship between Australia’s automobile

Crowdshipping (CS) is an emerging form of freight transport that is expected to reduce the externalities of urban freight transport. The supply of CS services originates from people with an intention to travel, who can choose to engage in a parcel delivery service as incidental carrier. The popular expectation is that this consolidation of freight and passenger trips could save freight trips and thus

Due to transportation technologies having such heterogeneous impacts on different communities, there needs to be better tools to evaluate the deployment of emerging technologies with limited data. Microtransit is one such technology. We propose a novel framework based on existing methods to “upscale” the limited data available so that further decision-support analysis and forecast modeling can be achieved

Several cities worldwide have been attempting to adopt “car-lite” policies to reduce traffic congestion and urban pollution. In addition to measures such as re-designing neighbourhoods and encouraging active modes, much expectation has been placed on the adoption of new and innovative modes, particularly shared AVs, or Automated Mobility-on-Demand (AMOD). Although the realisation of AMOD appears to

This paper examines the integration of freight delivery into the passenger transport of an on-demand ride-pooling service. The goal of this research is to use existing passenger trips for logistics services and thus reduce additional vehicle kilometers for freight delivery and the total number of vehicles on the road network. This is achieved by merging the need for two separate fleets into a single

The spread of COVID-19 results in a significant drop in traffic levels worldwide. Quantifying the impact of multiple COVID-19 outbreaks on traffic systems is critical to developing differentiated policies in the future. This paper proposes a novel COVID-19 multiple outbreak analysis method (NCMOA), dividing the impact scope and degree under multiple COVID-19 disturbances, and using the recovery rate

We study the effect of the COVID-19 pandemic and the associated government measures on individual mobility choices in Switzerland. Our data is based on over 1,600 people for which we observe all trips during eight weeks before the pandemic and until May 2021. We find an overall reduction of travel distances by 60 percent, followed by a gradual recovery during the subsequent re-opening of the economy

There is a growing popularity for shared mobility services. With their penetration in a city, a natural phenomenon is the mode shift from conventional modes. Therefore, there is a need for a model, which is capable of capturing this phenomenon. While most existing studies have developed mode choice models consisting of a single shared mobility service, only a few studies of two modes exist. Nevertheless

Co-modality is widely applied in medium- and long-haul transport by providing an integrated transport solution for both passenger and freight. This paper aims to investigate how the concept can support the short-haul market in city logistics. Though a few trials have been carried out by using the tram to serve cargo delivery, most of them were suspended or failed due to its substantial investment in

The COVID-19 pandemic has had a significant impact on the way we work and live, with working from home becoming more than the occasional desire but a regular feature of work and life. While an increasing number of research studies have promoted the virtues of what is often described as the positive unintended consequences of the pandemic, there are also downsides, especially during periods of imposed

Promoting the use of alternative fuel vehicles (AFVs) has become a long-term transportation strategy in California, which can bring a broad range of social, economic, and environmental benefits. Based on a sample of 3260 California residents from the 2018 California Panel Survey, this study explores the impacts of latent attitudes, socio-demographic characteristics, and neighborhood effects on consumers’

Pedestrian movements constitute a complex self-organizing system in which various potential risks and conflicts are introduced by the accumulation of randomness and inconsistency over time. Due to the lack of relevant data, knowledge of low-risk behavior identification and risk formation mechanisms in pedestrian movement is insufficient. In this study, we present probable risk indicators reflecting

An often-overlooked problem in the evaluation and prediction of congestion charge policies is commuters’ bounded rationality. Although some studies have sought to account for this using cumulative prospect theory (CPT), the specific behavioral parameters that reflect travelers’ decision-making process in response to congestion charge scenarios are based on assumptions and lack empirical evidence. This

Fully automated vehicles (FAVs) are predicted to enter the passenger vehicle market in the near future. Being a new technology, there is significant uncertainty on adoption by users. There is a need for studies on the user acceptance of autonomous vehicles. This study aims to assess user acceptance of FAVs in a middle-income country, Iran, by adopting and comparing three popular user acceptance models:

Electric cargo cycles are often considered a viable alternative mode for delivering goods in an urban area. However, cities in the U.S. are struggling to regulate cargo cycles, with most authorities applying the same rules used for motorized vehicles or traditional bikes. One reason is the lack of understanding of the relationship between existing regulations and transport infrastructure and cargo